Particle-Filter MPC
Cross-source consensus on Particle-Filter MPC from 1 sources and 4 claims.
1 sources · 4 claims
Risks & contraindications
Comparisons
Highlighted claims
- VNB was much faster than particle-filter MPC across all three simulation regimes. — Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty
- Particle filters can represent multimodal uncertainty but scale poorly for CVaR tail-risk estimation. — Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty
- Particle-filter beliefs obstruct pathwise gradient propagation. — Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty
- The article summarizes VNB as roughly 5-7 times faster than particle-filter MPC in Table III. — Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty